Triple
T34190357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaga |
E877087
|
entity |
| Predicate | hasLanternFestivalFeature |
P56123
|
FINISHED |
| Object | paper lanterns worn on the head |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: paper lanterns worn on the head | Statement: [Yamaga, hasLanternFestivalFeature, paper lanterns worn on the head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanternFestivalFeature Context triple: [Yamaga, hasLanternFestivalFeature, paper lanterns worn on the head]
-
A.
hasLunarFortnight
Indicates that an entity experiences or is associated with a recurring time period corresponding to a lunar fortnight (approximately half a lunar month).
-
B.
hasHangingLantern
Indicates that one entity possesses or features a lantern that is suspended or hanging from it.
-
C.
hasLanternLightSource
Indicates that an entity uses a lantern as its source of light.
-
D.
hasParadeFeature
chosen
Indicates that an entity includes, exhibits, or is characterized by a particular feature or element of a parade.
-
E.
hasLanternShape
Indicates that one entity has the form, outline, or configuration characteristic of a lantern.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 1:55 a.m.